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CHAPTER 5 CHARTS AND GRAPHS | SPSS Homework Help

In this chapter, the techniques for producing a number of useful graphics are explained. There are other chart and graph options that are not explained, although they are contained within the “Graphs” menu and can be explored with knowledge of how to use the other IBM SPSS Statistics graph functions, along with a background in statistical and research methods.

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Most of the charts and graphs discussed in this chapter, as well as those not covered in this book, can be double-clicked in the output Viewer. After double-clicking, the object opens in a new Chart Editor window that allows editing of text, colors, and graphics, as well as the addition of other features and even other variables.

From the SPSS Statistics Chart Editor window, the graphs, charts, and tables that are produced can be selected and copied (<Ctrl> + C or <Apple> + C), and then pasted (<Ctrl> + V or <Apple> + V, or “Paste Special”) into a word processing program such as Microsoft Word, a publishing program, a Web design program, or another program.

BOXPLOT

A boxplot is a visual representation of the frequency distribution of a variable showing the shape, central tendency, and variability of a distribution. It can also be called a box-and-whisker diagram. To produce a boxplot, use the “Graphs” menu:

Graphs → Chart Builder . . .

If this is the first time you’ve used the SPSS Statistics Chart Builder, you may receive the following alert box:

SPSS Homework HelpDescription

This alert is an important reminder of at least two things. First, it is important to define the proper level of measurement for any variables for which you will be using this function. Scale (interval and ratio) variables should not be used, for instance, to produce a pie chart. The Chart Builder will actually not allow some improper graphing and charting. So, it is doubly important to properly assign levels of measurement in any data set you use, whether it is a secondary data set or you collect and enter the data yourself.

Also, make certain that value labels have been assigned properly for nominal and ordinal variables. Without those labels, it may not be possible to make proper use of the information provided by the SPSS Statistics Chart Builder.

SPSS Homework HelpDescription

In this example, we will draw a simple boxplot for one variable, “AGE.” From the “Chart Builder” dialog box (see page 66), select “Boxplot” from the “Gallery” tab at the bottom of this window. SPSS Statistics presents three choices for the boxplot, as shown below:

A screenshot of a “Chart Builder” dialog box with the type “Box Plot” selected from the “Gallery”.

For this example, we will select the third choice, examining just one variable. Drag and drop the icon for your selection into the chart preview area toward the top right side of this window. An area marked “X-Axis?” will appear along the left-hand side of the chart preview pane.

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Now, you will need to select a variable from the list on the left to drag into this “X-Axis?” area. SPSS Statistics requires a variable to be dragged to that area in order to compute and draw the boxplot. This example uses the variable “AGE.” Once you do this, the screen will look as follows:

A screenshot of a “Chart Builder” dialog box with menu directions to create a boxplot.Description

The “Element Properties” side of the “Chart Builder” window will automatically become populated. Here, you have options to set the scale range for the graph, as well as the label for the x-axis in this case. (Labels, titles, legends, and so on can all be edited in the output window of SPSS Statistics as well; see Chapter 11, “Editing Output.”) Click “X-Axis 1” to see the window as pictured on page 69.

A screenshot with menu directions of “Element Properties”pane in the “Chart Builder” dialog box.Description

By clicking the “Options” tab in the upper right corner of the “Chart Builder” window, you will be able to instruct SPSS on how to handle missing cases. By clicking this tab, you will toggle from “Element Properties” to “Options.” You can choose listwise or pairwise. For this example, the default will be used: listwise.

A screenshot with a detailed view of the “Options” tab in the “Chart Builder” dialog box.

Description

Note also that by clicking the “Titles/Footnotes” tab in the lower portion of the “Chart Builder” window, you can quite easily choose which of these elements to include with the boxplot:

A screenshot of a “Chart Builder” dialog box with menu directions for “Titles or Footnotes” and “Options”.Description

Once you’ve selected which elements to choose by checking the appropriate boxes, you can add the verbiage to the “Custom” content box in the “Element Properties” window, as shown on page 72. Notice that once you enter the custom content, the “chart preview” on the left exhibits that content.

SPSS Homework HelpDescription

Once you have set your preferences and entered the appropriate content (in this case, a title and a reference for the data source were included as for “Title” and “Subtitle”), click “OK” in the “Chart Builder” dialog box, and SPSS Statistics will produce the boxplot in the output Viewer window. Information about the distribution of the variable is contained in the boxplot. The upper and lower boundaries of the box itself represent Quartile 3 (the 75th percentile) and Quartile 1 (the 25th percentile), respectively. Values correspond to the scale on the left axis of the figure. Therefore, the box itself shows the interquartile range. The line inside the box is drawn at the 50th percentile (median). The lines extending above and below the box are referred to as whiskers. At the end of the top whisker, the maximum score is marked. The minimum value can be found at the end of the lower whisker.

A boxplot analyzing the results of the variable, “Age of the respondent”.Description

To compare the distributions of two subsamples using the boxplot, follow these instructions:

Graphs → Chart Builder . . .

A screenshot of a Chart Builder dialog box to create a boxplot using two variables.

Description

In this case, “AGE,” or a respondent’s age, is being examined across gender (the variable “SEX”). We would not expect any stark differences between the age distributions of men and women. What do the boxplots reveal? Drag the appropriate variables into the gallery area and click “OK,” producing the following output:

A boxplot analyzing the results of the variables “Age” and “Gender” of the respondent.

Description

LEGACY OPTIONS FOR GRAPHS (BOXPLOT EXAMPLE)

The Chart Builder is a newer feature in SPSS Statistics. The option to create charts and graphs using the previous system remains in the program and can be particularly useful for quick creation of certain output, if the researcher knows exactly what type of visual display is desired in advance:

Graphs → Legacy Dialogs → Boxplot . . .

A pop-up showing the legacy options for a boxplot in the chart builder dialog box.

In this example, we will draw a simple boxplot for one variable, “AGE,” as we did before with the Chart Builder. Click “Simple,” and select the button for “Summaries of separate variables.” Then click the “Define” button. You will be given another dialog box:

A screenshot of a dialog box to create a simple boxplot using two variables.Description

In this dialog box, drag the variable(s) of interest into the “Boxes Represent” location. Click “OK,” and SPSS Statistics will provide the boxplot(s) that you have requested. It will be nearly identical to the output provided by the Chart Builder option, varying only in ways related to additional formatting options that are selected using the Chart Builder. A case processing summary is also provided, by default, when creating the boxplot using this method:

A screenshot of the case processing summary in tabular form while creating a simple boxplot using two variables.Description

SCATTERPLOT

A scatterplot is a useful graph to display the relationship between two scale, or interval-ratio, variables. To create a scatterplot, use these menu directions:

Graphs → Chart Builder . . .

A screenshot of a chart builder dialog box with menu directions, to create a scatter plot.Description

In the “Chart Builder” window, select “Scatter/Dot” from the “Gallery” tab. Drag and drop the type of scatterplot you would like to produce into the chart preview area. For this example, choose the first option and drag it to the preview area. Once it is there, you will need to select variables for both the x– and y-axes. For this example, we will plot socioeconomic index by years of education. Drag the “EDUC” variable from the “Variables” bank on the left into the y-axis location. Then drag the “PAEDUC” variable from the “Variables” bank into the x-axis location. “PAEDUC” represents the number of years of education completed by the respondent’s father. Make certain that the levels of measurement for both “EDUC” and “PAEDUC” have been recorded as “scale” (interval-ratio). You can use the “Element Properties” window to change the scale of the graph, edit labels, and so on.

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Click “OK” in the Chart Builder, and SPSS will provide the scatterplot in the output Viewer window, as illustrated below. In the graph for Years of Education by Father’s Years of Education, there does appear to be an upward trend, suggesting that one’s years of education can be predicted from one’s father’s years of education. You could also examine the relationship between “MAEDUC” (mother’s years of education) and “EDUC” for comparison. Note also that the data points all fall along vertical lines because of the nature of both variables, which have been categorized into discrete numbers of years (not allowing 13.5 years, for instance). In the case of a true continuously measured variable, those distinct vertical lines would not show up in the scatterplot.

A scatter plot analyzes the years of education of various respondents depending on the years of education of their father.Description

LEGACY SCATTERPLOT

To use the legacy option, the method still available from prior versions of SPSS software and also available as an alternative within SPSS Statistics Version 25 to create a scatterplot, use the following menus and proceed using the same information that was entered using the Chart Builder:

Graphs → Legacy Dialogs → Scatter/Dot . . .

A pop-up showing the legacy options for a scatter plot in the chart builder dialog box.Description

Then click “Simple Scatter” for our example. (Note that there are several other types of scatterplots available to you, depending upon the nature of the variables you wish to graph.) Click “Define.” You will then be presented with a “Simple Scatterplot” dialog box like the one following:

A screenshot of a dialog box to create a simple scatter plot.

Select variables for the x– and y-axes. In this example, “EDUC” (years of education) has been selected for the y-axis (dependent variable), and “PAEDUC” (father’s years of education) has been chosen for the x-axis (independent variable). Once you click the “OK” button, SPSS Statistics will produce a scatterplot nearly identical to the one provided using the Chart Builder option:

An output of the graph after choosing to create a simple scatter plot.Description

HISTOGRAM

To display a graphic representation of the distribution of a single scale variable, the histogram serves well. This is a bar graph that can be used with variables at the interval and ratio levels. The bars touch. The widths of the bars represent the represent the widths of the intervals, and the height of each bar represents the frequency of each interval. To create a histogram, follow these menus:

Graphs → Chart Builder . . .

A screenshot of a chart builder dialog box with menu directions, to create a Histogram.Description

In the “Chart Builder” dialog box, select “Histogram” from the “Gallery” tab at the bottom of the window. Then choose the appropriate option; in this example, we will use the first option. Now, drag the variable of interest into the chart preview area. In this case, “AGE” is the variable selected.

A detailed view of the “Element Properties” menu pane.Description

Next, in the “Element Properties” window, making sure that you are editing properties of “Bar1,” check the box that is associated with “Display normal curve.” At this point, you will see that the Chart Builder visually indicates that the normal curve overlay will be included in the output. Now, click “OK” in the “Chart Builder” box.

A screenshot of a chart builder dialog box with menu directions to create a Histogram along with a normal curve.

The SPSS Statistics output is shown below. The histogram is displayed, and an overlay of a normal curve has been added, per the request we made in the “Element Properties” window:

A histogram representing the mean and the standard deviation.

Description

MULTIVARIATE HISTOGRAM

To produce a stacked histogram, displaying stacked bars of one variable’s distribution according to categories of another variable, select the second histogram option in the “Chart Builder” dialog box, the one in which each bar has several different colors. Add the variable of interest, “AGE,” to the x-axis. Then drag the variable by which you would like the bars divided into the “Stack: set color” box, which will appear in the chart preview area when you drag “AGE” into it.

Note that you cannot divide bars by a variable that is “scale” according to SPSS Statistics. Even if it is a nominal variable, you cannot move it to the “Stack” area in the chart preview pane unless SPSS Statistics recognizes it as nominal or ordinal. To change a variable from scale to nominal or ordinal (assuming it is indeed not a scale variable), go to the Variable View tab of the Data Editor window. Find the variable you wish to change, click its cell in the “Measure” column, and then select the new level of measurement from the pull-down choices: nominal, ordinal, or scale.

A screenshot of a chart builder dialog box with menu directions to create a multivariate histogram.Description

Click “OK,” and the following output will be produced in the SPSS Statistics output Viewer:

A stacked histogram representing the mean and the standard deviation.Description

HORIZONTAL HISTOGRAM

A two-sided horizontal histogram is another graphic that appears frequently in social science classes, often used to present a “population pyramid.” In the “Chart Builder” dialog box, click the fourth choice for the histogram option (the icon farthest to the right), and drag the main axis variable and the variable to define the categories (sides) of the graph into the chart preview area.

A screenshot of a chart builder dialog box with menu directions, to create a horizontal histogram.Description

If you use “AGE” as the distribution variable and wish to split the distribution by “SEX,” the output shown on page 84 will be returned after you click “OK.”

Note that the third option in the histogram “Gallery” tab of the Chart Builder is a variation of a frequency polygon that can be created using the same technique used to create the first histogram option.

To produce histograms using an older version of SPSS, or to use that method in more recent SPSS/PASW Statistics versions, select the following menus and enter the information about your variables and the type of graph you would like to produce:

Graphs → Legacy Dialogs → Histogram . . .

A horizontal histogram presenting a population pyramid.

Description

BAR GRAPH

Use of bar graphs is common and varied. SPSS Statistics provides many ways of using bar graphs to illustrate information. Much like Microsoft Excel and other spreadsheet and data graphics programs, SPSS Statistics produces bar graphs in a number of different ways. It is possible to create standard bar graphs as well as clustered or stacked bar graphs. To produce a bar graph, use these menus:

Graphs → Chart Builder . . .

Choose “Bar” from the “Gallery” tab. Be sure that your variable is recognized by SPSS Statistics as having the correct level of measurement. For instance, if you have a nominal variable that is coded in SPSS Statistics as a scale variable, the “Bar” graph option will automatically turn the bar graph into a histogram.

A screenshot of a chart builder dialog box with menu directions to create a bar graph.Description

Choose the first bar graph option, and drag it into the chart preview area. Select the variable for graphing from the list on the left, and drag it into the x-axis box. Then click “OK.” Following is an image of the graph that SPSS Statistics will produce:

An output bar graph analyzing the results of the variable “Sex before marriage”.Description

Note that a footnote has been added. This can be done by first selecting the “Title/Footnotes” tab at the bottom of the “Chart Builder” window. Then select the “Elements” tab from the upper right side of the Chart Builder. Here, you can select “Footnote 1” and enter the custom content. More information about how to add features or edit graphs can be found in Chapter 11, “Editing Output.”

MULTIVARIATE BAR GRAPH

One might wish to produce clustered bar graphs when comparing information, such as that shown earlier about beliefs concerning premarital sex, across categories of things like gender, race/ethnicity, or age groups. In the example that follows, we examine beliefs about premarital sex by gender. With a clustered bar graph in this case, it is beneficial to graph the percentage of respondents versus the number of respondents so that the relative bar lengths can be more easily compared within categories of the dependent variable. So, select the following menus:

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Graphs → Chart Builder . . .

After selecting “Bar” from the “Gallery” tab, select the clustered option, which is the second icon from the left in the top row, as seen in the following image. Then drag it to the chart preview area.

Two screenshots show the chart builder dialog box with menu directions to create a bar graph that analyzye two types of parameters.Description

You have the option at this point to enter titles and footnotes by selecting the “Titles/Footnotes” tab from the row of tabs to the right of the “Gallery” tab. In this example, you will notice that the output (shown in the following figure) has been edited to include a title and footnote. (You can also add this information later in the SPSS Statistics output Viewer window by double-clicking the object and working with the editing tools there; for more information, see Chapter 11, “Editing Output.”)

Now, tell SPSS Statistics with which variables you will be working. Drag the dependent variable, “PREMARSX,” into the x-axis box in the chart preview area. Next, drag the independent variable, “SEX,” from the variable list into the “Cluster on X” box in the chart preview area.

Next, select “Element Properties” and make sure to change the bar graph option from count to percentage Then click the “Set Parameters . . .” button, and select the option for percentage that uses all the bars of the same color (total for that grouping category) as the denominator:

A pop-up box labeled, “Element properties: Set Parameters” reads the following text: “Denominator for computing percentage: Total for each legend variable category (same fill pattern)”. It has tabs for “Continue” and “Cancel”.

Now, click “Continue” in this box, then “Apply” in the “Element Properties” box, and then “OK” in the “Chart Builder” window. SPSS Statistics will produce the following output:

An output bar graph analyzing the results of “Sex before marriage” among males and females.

It is apparent from the bar chart prepared by SPSS Statistics that women tend to take a less favorable view of premarital sex than do men. Notice that a larger percentage of women than men in the sample responded “always wrong.” Likewise, a smaller percentage of women responded “not wrong at all.”

To produce bar graphs using an older version of SPSS, or to use a legacy method on a newer version of SPSS Statistics, select the following menus and enter the information about your variables and the type of graph you would like to produce:

Graphs → Legacy Dialogs → Bar . . .

You will be given a small dialog box that precedes the main “Bar Chart” dialog boxes. For this example, click “Simple,” and then click the “Define” button. Now you will be given the “Define Simple Bar” dialog box, and you can enter the information to produce the graph.

A screenshot of a dialog box, to define a clustered bar graph.Description

PIE CHART

Pie charts are circular graphs with slices that represent the proportion of the total contained within each category. To produce a pie chart, select the following menus:

Graphs → Chart Builder . .

Graphs → Chart Builder . . .

A screenshot of a chart builder dialog box with menu directions to create a pie chart.Description

Remember, SPSS Statistics will not allow you to use variables that it recognizes as “scale” to draw a pie chart. If the variable you wish to draw is not scale, you may change the level of measurement recognition for that variable in the Variable View tab of the Data Editor by double-clicking that variable’s cell in the “Measure” column.

For this example, use “AGE2,” the recoded version of respondent’s age. “AGE2” reduces the data into exactly two categories; this is known as a dichotomy. A pie chart is useful for nominal and many ordinal variables and particularly for dichotomies. It would be of little or no use to create a pie chart for the original “AGE” variable, because there would be too many slices from which to make much sense.

First, click “Pie/Polar” from the “Gallery” tab at the bottom of the “Chart Builder” box. Then drag the icon for the only available option to the chart preview area. Now, drag the “AGE2” variable to the box that appears underneath the sample pie chart in the chart preview area.

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Again, note that you have the option here to select the “Titles/Footnotes” tab, where you will be presented with spaces to easily enter that information under the “Element Properties” tab. In this example, you will notice that the output (below) has been edited to include a footnote. (You can also add this information later in the SPSS Statistics output Viewer window by double-clicking the object and working with the editing tools there; for more information, see Chapter 11, “Editing Output.”)

Next, click the “Element Properties” tab and choose “Polar-Interval1”:

A detailed view of the “Element Properties” menu pane.

Description

In the “Statistics” box, select “Percentage.” There will be only one choice when you click the “Set Parameters” button: “Grand Total”:

A pop-up box labeled, “Element properties: Set Parameters” reads the following text: “Denominator for computing percentage: Total for each legend variable category (same fill pattern)”. It has tabs for “Continue” and “Cancel”.Description

Now, click the “Continue” button, then the “Apply” button in the “Element Properties” window, and then the “OK” button in the “Chart Builder” box. The following graphic will be produced in the SPSS Statistics output Viewer window:

A pie chart titled, “Aged 50 plus (or not)” is divided into two equal parts vertically. The first half represents the percentage for the “49 and under” variable and the second half represents the percentage for the “50 plus” variable.Description

The SPSS Statistics output above provides descriptive (percentage) information in visual form for the variable selected, “AGE2”: age distribution reduced into two categories.

To produce pie charts using older versions of SPSS software or its legacy method, select the following menus and enter the information about your variables and the type of chart you would like to produce:

Graphs → Legacy Dialogs → Pie . . .

ADDITIONAL GRAPHIC CAPABILITIES IN SPSS STATISTICS

Using the SPSS Statistics Chart Builder, you can create additional types of graphics not covered in this chapter, such as line graphs and graphs with dual axes, by selecting those templates from the “Gallery” in the “Chart Builder” box. The options for patterns, clustering, and so on can be followed from the instructions for the graphs discussed in this chapter.

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Access the full 2016 data file and the 1972–2016 Cumulative Codebook at the student study site: study.sagepub.com/wagner7e.

Descriptions of Images and Figures

Back to image

A Pop-up box titled, “Chart Builder” shows a circle with sigma, alpha, and division symbols, with text as,

“Before you use this dialog, measurement level should be set properly for each variable in your chart. In addition, if your chart contains categorical variables, value labels should be defined for each category. Press OK to define your chart.

Press define variable Properties to set measurement level or define value labels for chart variables.”.

A check box for “Do not show this dialog again is given at the end of the pop-up box”.

Tabs for “OK” and “Define Variable Properties” are given and the latter is selected.

Back to image

The dialog box is divided into three vertical panes. The first pane on the left side displays a list of variables with the nominal icon in the alphabetical order.

The list reads as follows, “ABANY”, “ABDEFFECT”, “ABHLTH”, and so on.

It is sub-divided into another section and has the following fields.

YES, NO, IAP, DK, NA

The pane in the center has a box with the following text, “Drag a gallery chart here to use it as your starting point. Or Click on basic elements tab to build a chart element by element”.

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The last pane on the right side has three tabs for “Element Properties”, “Chart appearance”, and “Options”. A box labeled, “Edit Properties of” with a cross mark button, is visible below the tabs in this pane.

Below the second pane are various tabs labelled, Gallery, Basic elements, Groups or Point IDs, and Titles and foot notes.

The “Gallery” tab is selected and a pop-up box shows a vertical scroll pane is titled, “Choose from” and lists the names of the various types of graphs as follows.

  • Favorites
  • Bar
  • Line
  • Area
  • Pie or Polar
  • Scatter or Dot
  • Histogram
  • High-Low
  • Box plot
  • Dual Axes

The type “Bar” is selected and shows pictures of various types of bar graphs in a horizontal pane next to the list.

At the bottom in the dialog box are the following tabs, “Reset”, “Paste”, “Cancel” and “OK”. The tabs of “Paste” and “OK” are disabled.

Back to image

The dialog box is divided into three vertical panes. The first pane on the left side displays a list of variables with the nominal icon in the alphabetical order.

The list reads as follows, “ABANY”, “ABDEFFECT”, “ABHLTH”, and so on. The variable of “AGE” is selected.

It is sub-divided into another section and has the text, “No categories (scale variable)”.

The pane in the center has a box with the following text, “1-D Boxplot of Age of respondent” and shows a boxplot. The vertical axis of the plot is titled, “Age of the respondent”. There is a small dashed rectangular box in the chart area and has the text “Filter”.

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The last pane on the right side has three tabs for “Element Properties”, “Chart appearance”, and “Options”. A box labeled, “Edit Properties of” with a cross mark button, is visible below the tabs in this pane and the list is as follows.

  • Box 1
  • X- Axis 1 (Box- 1)
  • Title 1

The field of “Box 1” is selected.

There are two horizontal panes below the “Edit Properties of “box.

The first pane is labelled, “Statistics” and has the following fields.

  • Variable
  • Statistics

Below the “Statistic” data field is a drop-down box with “boxplot” written in it and is in a disabled state. A tab for “Set Parameters” is also seen in a disabled state. A check box for “Display error bars” is given below this tab and is also in a disabled state.

The second horizontal pane is labelled, “Error Bars Represent” and has the following fields.

  • Confidence intervals
    Level Percentage: 95
  • Standard error
    Multiplier: 2
  • Standard deviation
    Multiplier: 2

Below the second pane are various tabs labelled, Gallery, Basic elements, Groups or Point IDs, and Titles and foot notes.

The “Gallery” tab is selected and a pop-up box shows a vertical scroll pane is titled, “Choose from” and lists the names of the various types of graphs as follows.

  • Favorites
  • Bar
  • Line
  • Area
  • Pie or Polar
  • Scatter or Dot
  • Histogram
  • High-Low
  • Boxplot
  • Dual Axes

The type “Boxplot” is selected and shows pictures of various types of bar graphs in a horizontal pane next to the list.

At the bottom in the dialog box are the following tabs, “Reset”, “Paste”, “Cancel” and “OK”. The tab of “OK” is selected.

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Back to image

The pane on the right side of the chart builder box is given in this screenshot. It has three tabs for “Element Properties”, “Chart appearance”, and “Options”. A box labeled, “Edit Properties of” with a cross mark button, is visible below the tabs in this pane and the list is as follows.

  • Box 1
  • X- Axis 1 (Box- 1)
  • Title 1

The field of “X- Axis 1 (Box- 1)” is selected.

A data field for “Axis label” is given. There is a box with the text, “Age of Respondent” against this data field.

There are two horizontal panes below the “Edit Properties of “box.

The first pane is labelled, “Scale Range” and has the following fields. Against all the below fields, except the “Variable” field two options of “Automatic” and “Custom” are given. A check box for the “Automatic” option and a cell with the numeral zero written for the “Custom” option. Both these options are in the disabled state.

  • Variable: Age of Respondent
  • Minimum
  • Maximum
  • Major Increment
  • Origin

The second horizontal pane is labelled, “Scale Type” and has the “Type” defined as “Linear” in the dropdown cell, with the following fields in a disabled state.

  • Base: 10
  • Exponent: 0.5

Back to image

The “options” tab has three horizontal panes. The first pane is titled, “User – Missing Values” and has the following text in a box. “System- missing values are always excluded but you can specify how you want SPSS Statistics to treat the user-missing values”.

This pane has two sub – panes. The first sub – pane is labelled, Break Variables and has the variables of “Exclude” and “Include” listed below. The variable of “Exclude” is highlighted.

The second sub-pane is labelled, “Summary Statistics and case values” and has the following fields listed.

  • Exclude listwise for a consistent case base
  • Exclude Variable-by-variable

The variable of “Exclude listwise for a consistent case base” is selected.

The second pane is labelled, “Chart Size” and has 100 % written in a data cell below the title.

The third pane is labelled, “Panels” and has a check box for “Wrap Panels” below it.

Back to image

The dialog box is divided into three vertical panes. The first pane on the left side displays a list of variables with the nominal icon in the alphabetical order.

The list reads as follows, “ABANY”, “ABDEFFECT”, “ABHLTH”, and so on. The variable of “AGE” is selected.

It is sub-divided into another section and has the text, “No categories (scale variable)”.

The pane in the center has a box with the following text, “1-D Boxplot of Age of respondent” and shows a boxplot. The vertical axis of the plot is titled, “Age of the respondent”. There is a small dashed rectangular box in the chart area and has the text “Filter”.

The last pane on the right side has three tabs for “Element Properties”, “Chart appearance”, and “Options”. The “Options” tab is selected and has three horizontal panes.

The first pane is titled, “User – Missing Values” and has the following text in a box. “System- missing values are always excluded but you can specify how you want SPSS Statistics to treat the user-missing values”.

This pane has two sub – panes. The first sub – pane is labelled, Break Variables and has the variables of “Exclude” and “Include” listed below. The variable of “Exclude” is highlighted.

The second sub-pane is labelled, “Summary Statistics and case values” and has the following fields listed.

  • Exclude listwise for a consistent case base
  • Exclude Variable-by-variable

The variable of “Exclude listwise for a consistent case base” is selected.

The second pane is labelled, “Chart Size” and has 100 % written in a data cell below the title.

Below the second pane are various tabs labelled, Gallery, Basic elements, Groups or Point IDs, and Titles or foot notes.

The “Titles or footnotes” tab is selected and a pop-up box shows a vertical scroll pane with the following text, “Checked items add titles and footnotes to the chart. Edit the text within properties” and lists various fields as follows with check boxes.

  • Title 1
  • Title 2
  • Subtitle
  • Footnote 1
  • Footnote 2

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The types “Title 1” and “Subtitle” are selected and shows pictures of various types of bar graphs in a horizontal pane next to the list.

At the bottom in the dialog box are the following tabs, “Reset”, “Paste”, “Cancel” and “OK”. The tab of “OK” is selected.

Back to image

The dialog box is divided into three vertical panes. The first pane on the left side displays a list of variables with the nominal icon in the alphabetical order.

The list reads as follows, “ABANY”, “ABDEFFECT”, “ABHLTH”, and so on. The variable of “AGE” is selected.

It is sub-divided into another section and has the text, “No categories (scale variable)”.

The pane in the center has a box with the following text, “1-D Boxplot of Age of respondent, General Social Survey 2016” and shows a boxplot. The vertical axis of the plot is titled, “Age of the respondent”. There is a small dashed rectangular box in the chart area and has the text “Filter”.

Below this pane are various tabs labelled, Gallery, Basic elements, Groups or Point IDs, and Titles or foot notes.

The “Titles or footnotes” tab is selected and a pop-up box shows a vertical scroll pane with the following text, “Checked items add titles and footnotes to the chart. Edit the text within properties” and lists various fields as follows with check boxes.

  • Title 1
  • Title 2
  • Subtitle
  • Footnote 1
  • Footnote 2

The types “Title 1” and “Subtitle” are selected and shows pictures of various types of bar graphs in a horizontal pane next to the list.

The last pane on the right side has three tabs for “Element Properties”, “Chart appearance”, and “Options”. The “Options” tab is selected and has three horizontal panes.

A box labeled, “Edit Properties of” with a cross mark button, is visible below the tabs in this pane and the list is as follows.

  • Box 1
  • X- Axis 1 (Box- 1)
  • Title 1
  • Subtitle

The field of “Subtitle” is selected and is followed by the text, “Text Type: Subtitle”.

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Below this are three data fields: Automatic, Custom, and None. The data field of “Custom” is selected and has the text, “General Social Survey,2016” written in a data cell below this field.

At the bottom in the dialog box are the following tabs, “Reset”, “Paste”, “Cancel” and “OK”. The tab of “OK” is selected.

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The vertical axis represents the “age of the respondent” and ranges from 0 to 100, in increments of 20. The horizontal axis represents the “respondents sex”. The chart area is titled, “Age by Gender, General Social Survey 2016”. The data for “male” and “female” respondents are summarized below.

  • Median: Male,50; Female,52.
  • Lower Quartile: Male,19; Female,19.
  • Upper Quartile: Male,89; Female,90.

Back to image

The dialog box is divided into three vertical panes. The first pane on the left side displays a list of variables with the nominal icon in the alphabetical order.

The list reads as follows, “ABANY”, “ABDEFFECT”, “ABHLTH”, and so on. The variable of “AGE” is selected.

It is sub-divided into another section and has the text, “No categories (scale variable)”.

The pane in the center has a box with the following text, “1-D Boxplot of Age of respondent” and shows a boxplot. The horizontal axis of the plot is titled, “Respondents Sex” and the vertical axis of the plot is titled, “Age of the respondent”. It has two plots for male and female separately. There is a small dashed rectangular box in the chart area and has the text “Filter”.

The last pane on the right side has three tabs for “Element Properties”, “Chart appearance”, and “Options”. A box labeled, “Edit Properties of” with a cross mark button, is visible below the tabs in this pane and the list is as follows.

  • Box 1
  • X- Axis 1 (Box- 1)
  • Title 1

The field of “Box 1” is selected.

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There are two horizontal panes below the “Edit Properties of “box.

  • The first pane is labelled, “Statistics” and has the following fields.
  • Variable
  • Statistics

Below the “Statistic” data field is a drop-down box with “boxplot” written in it and is in a disabled state. A tab for “Set Parameters” is also seen in a disabled state. A check box for “Display error bars” is given below this tab and is also in a disabled state.

The second horizontal pane is labelled, “Error Bars Represent” and has the following fields.

  • Confidence intervals
    Level Percentage: 95
  • Standard error
    Multiplier: 2
  • Standard deviation
    Multiplier: 2

Below the second pane are various tabs labelled, Gallery, Basic elements, Groups or Point IDs, and Titles and foot notes.

The “Gallery” tab is selected and a pop-up box shows a vertical scroll pane is titled, “Choose from” and lists the names of the various types of graphs as follows.

  • Favorites
  • Bar
  • Line
  • Area
  • Pie or Polar
  • Scatter or Dot
  • Histogram
  • High-Low
  • Boxplot
  • Dual Axes

The type “Boxplot” is selected and shows pictures of various types of bar graphs in a horizontal pane next to the list.

At the bottom in the dialog box are the following tabs, “Reset”, “Paste”, “Cancel” and “OK”. The tab of “OK” is selected.

Back to image

The vertical axis represents the “age of the respondent” and ranges from 0 to 100, in increments of 20. The horizontal axis represents the “respondents sex”. The chart area is titled, “Age by Gender, General Social Survey 2016”. The data for “male” and “female” respondents are summarized below.

  • Median: Male,50; Female,52.
  • Lower Quartile: Male,19; Female,19.
  • Upper Quartile: Male,89; Female,90.

Back to image

The dialog box is divided into two vertical panes. The first pane on the left side displays a list of variables with the nominal icon in the alphabetical order.

The list reads as follows, “ABANY”, “ABDEFFECT”, “ABHLTH”, and so on. The variable of “AGE” is selected.

The second pane is subdivided into two horizontal panes.

  • The first horizontal pane has two boxes labelled, “Boxes represent” and “Label cases by”. The variable of AGE is selected, in the box of “Boxes represent”.
  • The second horizontal pane is labelled, “Panel by” and has empty data fields for “Rows” and “columns”. Below each of these empty data fields, there is a disabled check box that reads, “Nest Variables (no empty columns)”.

At the bottom in the dialog box are the following tabs, “Reset”, “Paste”, “Cancel” and “OK”. The tab of “OK” is selected.

Back to image

The case processing summary while creating a simple boxplot using two variables.

  Cases
  Valid Missing Total
  N Percent N Percent N Percent
Age of respondent 2857 99.7% 10 0.30% 2867 100.00%

Back to image

The dialog box is divided into three vertical panes. The first pane on the left side displays a list of variables with the nominal icon in the alphabetical order.

The list reads as follows, “OTHERLANG”, “OWNGUN”, “PAEDUC”, and so on. The variable of “PAEDUC” is selected.

It is sub-divided into another section and has the text, “No categories (scale variable)”.

The pane in the center has a box with the following text, “EDUC by PAEDU, General Social Survey,2016.” and shows a Scatter plot.

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The horizontal axis of the plot is titled, “Highest year of School completed, Father” and the vertical axis of the plot is titled, “Highest year of School completed”. There is a small dashed rectangular box in the chart area and has the text “Filter”.

The last pane on the right side has three tabs for “Element Properties”, “Chart appearance”, and “Options”. A box labeled, “Edit Properties of” with a cross mark button, is visible below the tabs in this pane and the list is as follows.

  • X- Axis 1 (Box- 1)
  • Y- Axis 1 (Box- 1)
  • Title 1
  • Subtitle

The field of “X- Axis 1 (Box- 1)” is selected.

There are two horizontal panes below the “Edit Properties of “box.

The first pane is labelled, “Scale Range” and has the following fields. Against all the below fields, except the “Variable” field two options of “Automatic” and “Custom” are given. A check box for the “Automatic” option and a cell with the numeral zero written for the “Custom” option. Both these options are in the disabled state.

  • Variable: Highest year School Completed, Father.
  • Minimum
  • Maximum
  • Major Increment
  • Origin

The second horizontal pane is labelled, “Scale Type” and has the “Type” defined as “Linear” in the dropdown cell, with the following fields in a disabled state.

  • Base: 10
  • Exponent: 0.5

Below the central pane are various tabs labelled, Gallery, Basic elements, Groups or Point IDs, and Titles and foot notes.

The “Gallery” tab is selected and a pop-up box shows a vertical scroll pane is titled, “Choose from” and lists the names of the various types of graphs as follows.

  • Favorites
  • Bar
  • Line
  • Area
  • Pie or Polar
  • Scatter or Dot
  • Histogram
  • High-Low
  • Boxplot
  • Dual Axes

The type “Scatter or Dot” is selected and shows pictures of various types of Scatter graphs in a horizontal pane next to the list.

At the bottom in the dialog box are the following tabs, “Reset”, “Paste”, “Cancel” and “OK”. The tab of “OK” is selected.

Back to image

The horizontal axis represents, “Highest year School Completed, father” and ranges from 0 to 20 in increments of 5. The vertical axis represents, “Highest year of school completed” and ranges from 0 to 20, in increments of 1.

The data corresponding to the father’s education and school years of the respondents are approximate and summarized below.

  • 0 to 5 years: Most of the dots on the graph area are potted between 6 to 16 years.
    Minimum: 0, Maximum:20.
  • 5 to 10 years: Most of the dots on the graph area are potted between 9 to 19 years.
    Minimum: 2, Maximum:20.
  • 10 to 15 years: Most of the dots on the graph area are potted between 12 to 20 years.
    Minimum: 1, Maximum:20.
  • 15 to 20 years: Most of the dots on the graph area are potted between 12 to 20 years.
    Minimum: 10, Maximum:20.

Back to image

The dialog box is divided into two vertical panes. The first pane on the left side displays a list of variables with the nominal icon in the alphabetical order.

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The list reads as follows, “ABANY”, “ABDEFFECT”, “ABHLTH”, and so on. The variable of “AGE” is selected.

The second pane is subdivided into two horizontal panes. The first horizontal pane has the following data fields.

  • Y Axis: EDUC
  • X Axis: PAEDUC
  • Set Markers by: Empty
  • Label cases by: Empty

The second horizontal pane is labelled, “Panel by” and has empty data fields for “Rows” and “columns”. Below each of these empty data fields, there is a disabled check box that reads, “Nest Variables (no empty columns)”.

Another pane labelled the, “Template” is given at the bottom of the dialog box. It has a check box for, “Use Chart specifications from…” and a disabled tab for “File”.

At the bottom in the dialog box are the following tabs, “Reset”, “Paste”, “Cancel” and “OK”. The tab of “OK” is selected.

Back to image

The horizontal axis represents, “Highest year School Completed, father” and the vertical axis represents, “Highest year of school completed”. Both the axes range from 0 to 20, in increments of 5.

The data corresponding to the father’s education and school years of the respondents are approximate and summarized below.

  • 0 to 5 years: Most of the dots on the graph area are potted between 10 to 16 years.
    Minimum: 0, Maximum:20.
  • 5 to 10 years: Most of the dots on the graph area are potted between 6 to 20 years.
    Minimum: 2, Maximum:20.
  • 10 to 15 years: Most of the dots on the graph area are potted between 6 to 20 years.
    Minimum: 1, Maximum:20.
  • 15 to 20 years: Most of the dots on the graph area are potted between 10 to 20 years.
    Minimum: 10, Maximum:20.

Back to image

The dialog box is divided into three vertical panes. The first pane on the left side displays a list of variables with the nominal icon in the alphabetical order.

The list reads as follows, “ABANY”, “ABDEFFECT”, “ABHLTH”, and so on. The variable of “AGE” is selected.

It is sub-divided into another section and has the text, “No categories (scale variable)”.

The pane in the center shows a sample histogram. The horizontal axis of the plot is titled, “Age of the respondent” and the vertical axis is titled, “Histogram”. There is a small dashed rectangular box in the chart area and has the text “Filter”.

The last pane on the right side has three tabs for “Element Properties”, “Chart appearance”, and “Options”. A box labeled, “Edit Properties of” with a cross mark button, is visible below the tabs in this pane and the list is as follows.

  • Bar 1
  • X- Axis 1 (Bar- 1)
  • Y- Axis 1 (Bar- 1)
  • Footnote 1

The field of “Bar 1” is selected.

There are two horizontal panes below the “Edit Properties of “box.

The first pane is labelled, “Statistics” and has the following fields.

  • Variable: Age of respondent
  • Statistics

Below the “Statistic” data field is a drop-down box with “Histogram” written in it and is in a disabled state. A tab for “Set Parameters” is also seen in a disabled state. A check box for “Display normal curve” is given in the pane along with the check box for “Display error bars” is given below this tab which is in a disabled state.

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The second horizontal pane is labelled, “Error Bars Represent” and has the following fields.

  • Confidence intervals
  • Level Percentage: 95
  • Standard error
  • Multiplier: 2
  • Standard deviation
  • Multiplier: 2

A data field for “Bar style: Bar” is also defined, below this pane.

Below the second vertical pane are various tabs labelled, Gallery, Basic elements, Groups or Point IDs, and Titles and foot notes.

The “Gallery” tab is selected and a pop-up box shows a vertical scroll pane is titled, “Choose from” and lists the names of the various types of graphs as follows.

  • Favorites
  • Bar
  • Line
  • Area
  • Pie or Polar
  • Scatter or Dot
  • Histogram
  • High-Low
  • Boxplot
  • Dual Axes

The type “Histogram” is selected and shows pictures of various types of bar graphs in a horizontal pane next to the list.

At the bottom in the dialog box are the following tabs, “Reset”, “Paste”, “Cancel” and “OK”. The tab of “OK” is selected.

Back to image

  • The pane on the right side of the chart builder box is given in this screenshot. It has three tabs for “Element Properties”, “Chart appearance”, and “Options”. A box labeled, “Edit Properties of” with a cross mark button, is visible below the tabs in this pane and the list is as follows.
  • Bar 1
  • X- Axis 1 (Bar- 1)
  • Y- Axis 1 (Bar- 1)
  • Footnote 1

The field of “Bar 1” is selected.

There are two horizontal panes below the “Edit Properties of “box.

The first pane is labelled, “Statistics” and has the following fields.

  • Variable: Age of respondent
  • Statistics

Below the “Statistic” data field is a drop-down box with “Histogram” written in it and is in a disabled state. A tab for “Set Parameters” is also seen in a disabled state. A check box for “Display normal curve” is given in the pane along with the check box for “Display error bars” is given below this tab which is in a disabled state.

The second horizontal pane is labelled, “Error Bars Represent” and has the following fields.

  • Confidence intervals
    Level Percentage: 95
  • Standard error
    Multiplier: 2
  • Standard deviation
    Multiplier: 2

A data field for “Bar style: Bar” is also defined, below this pane.

Back to image

The horizontal axis represents, “Age by Groups” and ranges from 0 to 100, in increments of 20. The vertical axis represents the frequencies and ranges from 0.0 to 150.0, in increments of 50.

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The bars are plotted between the values 20 and 90 on the horizontal axis. It also depicts a normalcy curve, which is shaped like a lowercase “n”. The curve is seen peaking at a frequency of 130, among the age groups of 40 to 60.

  • Mean is equal to 49.16
  • Standard Deviation is equal to 17.693
  • N is equal to 2,857

Back to image

The dialog box is divided into three vertical panes. The first pane on the left side displays a list of variables with the nominal icon in the alphabetical order.

The list reads as follows, “RACE”, “RACE3”, “RACECEN1”, and so on. The variable of “RACE” is selected.

It is sub-divided into another section and has the following fields.

YES, NO, IAP, DK, NA

The pane in the center shows a sample histogram. The horizontal axis of the plot is titled, “Age of the respondent” and the vertical axis is titled, “Histogram”. There is a small dashed rectangular box in the chart area and has the text “Filter”.

The last pane on the right side has three tabs for “Element Properties”, “Chart appearance”, and “Options”. A box labeled, “Edit Properties of” with a cross mark button, is visible below the tabs in this pane and the list is as follows.

  • X- Axis 1 (Bar- 1)
  • Y- Axis 1 (Bar- 1)
  • Group Pattern (Bar 1)
  • Footnote 1

The field of “Bar 1” is selected.

There are two horizontal panes below the “Edit Properties of “box.

The first pane is labelled, “Scale Range” and has the following fields. Against all the below fields, except the “Variable” field two options of “Automatic” and “Custom” are given. A check box for the “Automatic” option and a cell with the numeral zero written for the “Custom” option. Both these options are in the disabled state.

  • Variable: Highest year School Completed, Father.
  • Minimum
  • Maximum
  • Major Increment
  • Origin
  • The second horizontal pane is labelled, “Scale Type” and has the “Type” defined as “Linear” in the dropdown cell, with the following fields in a disabled state.
  • Base: 10
  • Exponent: 0.5

Below the second vertical pane are various tabs labelled, Gallery, Basic elements, Groups or Point IDs, and Titles and foot notes.

The “Gallery” tab is selected and a pop-up box shows a vertical scroll pane is titled, “Choose from” and lists the names of the various types of graphs as follows.

  • Favorites
  • Bar
  • Line
  • Area
  • Pie or Polar
  • Scatter or Dot
  • Histogram
  • High-Low
  • Boxplot
  • Dual Axes

The type “Histogram” is selected and shows pictures of various types of bar graphs in a horizontal pane next to the list.

At the bottom in the dialog box are the following tabs, “Reset”, “Paste”, “Cancel” and “OK”. The tab of “OK” is selected.

Back to image

The horizontal axis represents, “Age of respondent” and ranges from 0 to 100, in increments of 20. The vertical axis represents the frequencies and ranges from 0.0 to 150.0, in increments of 50.

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There are four types of bars representing the race of the respondent. The bars are plotted between the values 20 and 90 on the horizontal axis. The data corresponding to race are summarized below.

White:

  • Mean is equal to 59.71
  • Standard Deviation is equal to 17.969
  • N is equal to 1,887

Black:

  • Mean is equal to 45.69
  • Standard Deviation is equal to 15.829
  • N is equal to 467

Other:

  • Mean is equal to 45.85
  • Standard Deviation is equal to 17.406
  • N is equal to 136

Hispanic:

  • Mean is equal to 41.63
  • Standard Deviation is equal to 15.435
  • N is equal to 367

Back to image

The dialog box is divided into three vertical panes. The first pane on the left side displays a list of variables with the nominal icon in the alphabetical order.

The list reads as follows, “SEI10”, “SETHRS”, “SEX”, and so on. The variable of “SEX” is selected.

It is sub-divided into another section and has the following fields.

  • Male
  • Female

The field of “Male” is selected.

The pane in the center shows a sample histogram. The vertical axis of the plot is titled, “Age of the respondent”. There is a small dashed rectangular box in the chart area and has the text “Filter”. The graph is titled, “Population Pyramid, Age by Sex”.

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The last pane on the right side has three tabs for “Element Properties”, “Chart appearance”, and “Options”. A box labeled, “Edit Properties of” with a cross mark button, is visible below the tabs in this pane and the list is as follows.

  • Pyramid 1
  • X- Axis 1 (Pyramid 1)
  • Y- Axis 1 (Pyramid 1)
  • Split (Pyramid 1)

The field of “Pyramid 1” is selected.

There are two horizontal panes below the “Edit Properties of “box.

The first horizontal pane is called, “Anchor First Bin” and has two data fields:

  • Automatic
  • Custom value for anchor

The field of “Automatic” is selected. Above this pane “Scale Variable Distribution Options” field with a check box for “Display normal curve” is given.

The second horizontal pane is labelled, “Bin Sizes” with the following data fields.

  • Automatic
  • Custom
    • Number of intervals
    • Interval width
  • Below this pane “Categorical Variable Distribution Options” are given with the following fields in a disabled state.
  • Display error bars
  • Confidence intervals level (%): 95

Below the second vertical pane are various tabs labelled, Gallery, Basic elements, Groups or Point IDs, and Titles and foot notes.

The “Gallery” tab is selected and a pop-up box shows a vertical scroll pane is titled, “Choose from” and lists the names of the various types of graphs as follows.

  • Favorites
  • Bar
  • Line
  • Area
  • Pie or Polar
  • Scatter or Dot
  • Histogram
  • High-Low
  • Boxplot
  • Dual Axes

The type “Histogram” is selected and shows pictures of various types of bar graphs in a horizontal pane next to the list.

At the bottom in the dialog box are the following tabs, “Reset”, “Paste”, “Cancel” and “OK”. The tab of “OK” is selected.

Back to image

The horizontal axis ranges from 0 to 80, in increments of 20. The vertical axis represents the “Age of respondent” and ranges from 0 to 100, in increments of 20. The chart displays the distribution of a population in all age groups and in both sexes.

The bars are plotted between the values 20 and 90 on the horizontal axis.

Both in males and females the bar is seen peaking at the Age 59.

Back to image

The dialog box is divided into three vertical panes. The first pane on the left side displays a list of variables with the nominal icon in the alphabetical order.

The list reads as follows, “POLVIEWS”, “PRAYER”, “PREMARSX”, and so on. The variable of “PREMARSX” is selected. It is sub-divided into another section and has the following fields.

  • ALWAYS WRONG
  • ALMOST ALWAYS WRONG
  • SOMETIMES WRONG
  • NOT WRONG AT ALL
  • IAP
  • DK
  • NA
  • The pane in the center has a bar graph summarizing the results for the following four categories:
  • ALWAYS WRONG
  • ALMOST ALWAYS WRONG
  • SOMETIMES WRONG
  • NOT WRONG AT ALL
  • The vertical axis is labelled, count and the horizontal axis is labelled, sex before marriage.
  • The last pane on the right side has three tabs for “Element Properties”, “Chart appearance”, and “Options”. A box labeled, “Edit Properties of” with a cross mark button, is visible below the tabs in this pane and the list is as follows.
  • Bar1
  • X- Axis 1 (Bar1)
  • Y- Axis 1 (Bar1)
  • Footnote 1

The field of “Bar1” is selected.

There are two horizontal panes below the “Edit Properties of “box.

The first pane is labelled, “Statistics” and has the following fields.

  • Variable
  • Statistics

Below the “Statistic” data field is a drop-down box with “count” written in it. A tab for “Set Parameters” is also seen in a disabled state. A check box for “Display error bars” is given below.

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The second horizontal pane is labelled, “Error Bars Represent” and has the following fields.

  • Confidence intervals
  • Level Percentage: 95
  • Standard error
  • Multiplier: 2
  • Standard deviation
  • Multiplier: 2

A data field for “Bar Style: Bar” is also given at the bottom of this pane.

Below the second pane are various tabs labelled, Gallery, Basic elements, Groups or Point IDs, and Titles and foot notes.

The “Gallery” tab is selected and a pop-up box shows a vertical scroll pane is titled, “Choose from” and lists the names of the various types of graphs as follows.

  • Favorites
  • Bar
  • Line
  • Area
  • Pie or Polar
  • Scatter or Dot
  • Histogram
  • High-Low
  • Box plot
  • Dual Axes

The type “Bar” is selected and shows pictures of various types of bar graphs in a horizontal pane next to the list.

At the bottom in the dialog box are the following tabs, “Reset”, “Paste”, “Cancel” and “OK”. The tabs of “Paste” and “OK” are disabled.

Back to image

The horizontal axis represents, “Sex before marriage” and depicts the following categories.

  • ALWAYS WRONG
  • ALMOST ALWAYS WRONG
  • SOMETIMES WRONG
  • NOT WRONG AT ALL

The vertical axis represents, “count” and ranges from 0 to 1200, in increments of 200.

The data corresponding to the category and the count are approximate and summarized below.

  • ALWAYS WRONG: 399
  • ALMOST ALWAYS WRONG: 100
  • SOMETIMES WRONG: 240
  • NOT WRONG AT ALL: 1100

Back to image

The dialog box is divided into three vertical panes. The first pane on the left side displays a list of variables with the nominal icon in the alphabetical order.

The list reads as follows, “POLVIEWS”, “PRAYER”, “PREMARSX”, and so on. The variable of “PREMARSX” is selected. It is sub-divided into another section and has the following fields.

  • YES
  • NO
  • IAP
  • DK
  • NA
  • The pane in the center has a bar graph summarizing the results for the following four categories, among males and females:
  • ALWAYS WRONG
  • ALMOST ALWAYS WRONG
  • SOMETIMES WRONG
  • NOT WRONG AT ALL

The vertical axis is labelled, count and the horizontal axis is labelled, sex before marriage.

The last pane on the right side has three tabs for “Element Properties”, “Chart appearance”, and “Options”. A box labeled, “Edit Properties of” with a cross mark button, is visible below the tabs in this pane and the list is as follows.

  • Bar1
  • X- Axis 1 (Bar1)
  • Y- Axis 1 (Bar1)
  • Group Pattern (Bar 1)

The field of “Bar1” is selected.

There are two horizontal panes below the “Edit Properties of “box.

The first pane is labelled, “Statistics” and has the following fields.

  • Variable
  • Statistics

Below the “Statistic” data field is a drop-down box with “Percentages” written in it. A tab for “Set Parameters” is also seen in a disabled state. A check box for “Display error bars” is given below.

The second horizontal pane is labelled, “Error Bars Represent” and has the following fields.

  • Confidence intervals
    Level Percentage: 95
  • Standard error
    Multiplier: 2
  • Standard deviation
    Multiplier: 2

A data field for “Bar Style: Bar” is also given at the bottom of this pane.

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Below the second pane are various tabs labelled, Gallery, Basic elements, Groups or Point IDs, and Titles and foot notes.

The “Gallery” tab is selected and a pop-up box shows a vertical scroll pane is titled, “Choose from” and lists the names of the various types of graphs as follows.

  • Favorites
  • Bar
  • Line
  • Area
  • Pie or Polar
  • Scatter or Dot
  • Histogram
  • High-Low
  • Box plot
  • Dual Axes

The type “Bar” is selected and shows pictures of various types of bar graphs in a horizontal pane next to the list.

At the bottom in the dialog box are the following tabs, “Reset”, “Paste”, “Cancel” and “OK”. The tabs of “Paste” and “OK” are disabled.

Back to image

The horizontal axis represents, “Sex before marriage” and depicts the following categories.

  • ALWAYS WRONG
  • ALMOST ALWAYS WRONG
  • SOMETIMES WRONG
  • NOT WRONG AT ALL

The vertical axis represents, “count” and ranges from 0 to 60, in increments of 20.

The data corresponding to the category and the count are approximate and summarized below.

  • ALWAYS WRONG: Male, 19; Female,23.
  • ALMOST ALWAYS WRONG: Male, 10; Female,11.
  • SOMETIMES WRONG: Male, 18; Female,15.
  • NOT WRONG AT ALL: Male, 61; Female,58.

Back to image

The dialog box is divided into two vertical panes. The first pane on the left side displays a list of variables with the nominal icon in the alphabetical order.

The list reads as follows, “ABANY”, “ABDEFFECT”, “ABHLTH”, and so on. The variable of “ABANY” is selected.

The second pane is subdivided into two horizontal panes. The first horizontal pane has a box labelled, “Bars represent” with the following fields.

  • N of cases
  • Cumulative. N
  • Percentage of cases
  • Cumulative percentage
  • Other Statistic (e.g., mean)

An empty data field for “Variable” is also given. A tab for “Change Statistic” in a disabled state is also visible. Data fields for the following is also given.

  • Category Axis: PREMARSX
  • Define Clusters by: SEX

The second horizontal pane is labelled, “Panel by” and has empty data fields for “Rows” and “columns”. Below each of these empty data fields, there is a disabled check box that reads, “Nest Variables (no empty columns)”.

At the bottom in the dialog box are the following tabs, “Reset”, “Paste”, “Cancel” and “OK”. The tab of “OK” is selected.

Back to image

The dialog box is divided into three vertical panes. The first pane on the left side displays a list of variables with the nominal icon in the alphabetical order.

The list reads as follows, “ABSINGLE”, “ACQNTSEX”, “AGE2”, and so on. The variable of “AGE2” is selected. It is sub-divided into another section and has the following fields.

  • 49 and under
  • 50 plus

The last pane on the right side has three tabs for “Element Properties”, “Chart appearance”, and “Options”. A box labeled, “Edit Properties of” with a cross mark button, is visible below the tabs in this pane and the list is as follows.

  • Polar Interval 1
  • Angle – Axis 1 (Polar Interval 1)
  • Group Pattern (Polar Interval 1)
  • Title 1

The field of “Polar Interval 1” is selected.

A horizontal pane below this box is labelled, “Statistics” and has the following fields.

  • Variable
  • Statistics

Below the “Statistic” data field is a drop-down box with “count” written in it. A tab for “Set Parameters” is also seen in a disabled state.

Below the second pane are various tabs labelled, Gallery, Basic elements, Groups or Point IDs, and Titles and foot notes.

The “Gallery” tab is selected and a pop-up box shows a vertical scroll pane is titled, “Choose from” and lists the names of the various types of graphs as follows.

  • Favorites
  • Bar
  • Line
  • Area
  • Pie or Polar
  • Scatter or Dot
  • Histogram
  • High-Low
  • Box plot
  • Dual Axes

The type “Pie or Polar” is selected and shows pictures of various types of pie charts in a horizontal pane next to the list.

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At the bottom in the dialog box are the following tabs, “Reset”, “Paste”, “Cancel” and “OK”. The tabs of “Paste” and “OK” are disabled.

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The last pane on the right side has three tabs for “Element Properties”, “Chart appearance”, and “Options”. A box labeled, “Edit Properties of” with a cross mark button, is visible below the tabs in this pane and the list is as follows.

  • Polar Interval 1
  • Angle – Axis 1 (Polar Interval 1)
  • Group Pattern (Polar Interval 1)
  • Title 1

The field of “Polar Interval 1” is selected.

A horizontal pane below this box is labelled, “Statistics” and has the following fields.

  • Variable
  • Statistics

Below the “Statistic” data field is a drop-down box with “Percentages” written in it. A tab for “Set Parameters” is also given.

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